Evaluation of the Accuracy of the Aerosol Optical and Microphysical Retrievals by the GRASP Algorithm from Combined Measurements of a Polarized Sun-Sky-Lunar Photometer and a Three-Wavelength Elastic Lidar

Author:

dos Santos Oliveira Daniel Camilo Fortunato1ORCID,Sicard Michaël12,Rodríguez-Gómez Alejandro1ORCID,Comerón Adolfo1ORCID,Muñoz-Porcar Constantino1ORCID,Gil-Díaz Cristina1ORCID,Lolli Simone13ORCID,Dubovik Oleg4ORCID,Lopatin Anton5,Herrera Milagros Estefanía5,Herreras-Giralda Marcos5

Affiliation:

1. CommSensLab, Department of Signal Theory and Communications, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain

2. Laboratoire de l’Atmosphère et des Cyclones, Université de la Réunion, 97744 Saint-Denis, France

3. CNR-Institute of Methodologies for Environmental Analysis (IMAA), Contrada S. Loja, 85050 Tito Scalo, Italy

4. CNRS, UMR 8518—LOA—Laboratoire d’Optique Atmosphérique (LOA), Université de Lille, 59650 Lille, France

5. GRASP-SAS, Generalized Retrieval of Atmosphere and Surface Properties, 59260 Lezennes, France

Abstract

The versatile Generalized Retrieval of Aerosol and Surface Properties (GRASP) algorithm exploits the advantages of synergic ground-based aerosol observations such as radiometric (sensitive to columnar aerosol optical and microphysical properties) and lidar (sensitive to vertical distribution of the optical properties) observations. The synergy is possible when the complementary data is mutually constrained by GRASP parametrization that includes, for the first time ever, the degree of linear polarization (DoLP) parameter measured by a polarized sun-sky-lunar AERONET photometer (380, 440, 500, 675, 870, 1020, and 1640 nm) in synergy with the vertical profiles from an elastic lidar (355, 532, and 1064 nm). First, a series of numerical tests is performed using simulated data generated using a climatology of data and ground-based measurements. The inversions are performed with and without random noise for five different combinations of input data, starting from the AERONET-like dataset and increasing to the complex one by adding more information for three aerosol scenarios: I—high aerosol optical depth (AOD) with dominant coarse mode; II—low AOD with dominant coarse mode; III—high AOD with dominant fine mode. The inclusion of DoLP improves (i) the retrieval accuracy of the fine-mode properties when it is not dominant; (ii) the retrieval accuracy of the coarse-mode properties at longer wavelengths and that of the fine-mode properties at shorter wavelengths; (iii) the retrieval accuracy of the coarse-mode real part of the refractive index (up to 36% reduction), but has no effect on the retrieval of the imaginary part; (iv) reduces up to 83% the bias of the sphere fraction (SF) retrieval in coarse-mode dominated regimes; and (v) the root mean square error (RMSE) of the retrieval for most of the parameters in all scenarios. In addition, the addition of more photometer channels in synergy with a three-wavelength elastic lidar reduces the RMSE for the real part (67% in the coarse mode) and the imaginary part (35% in the fine mode) of the refractive index, the single scattering albedo (38% in the fine mode), the lidar ratio (20% in the coarse mode), and the SF (43%).

Funder

Spanish Ministry of Science and Innovation

H2020

Horizon Europe REALISTIC project

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

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